کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6029142 1580923 2013 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inter-subject alignment of human cortical anatomy using functional connectivity
ترجمه فارسی عنوان
همبستگی میان موضوعها با آناتومی قشر انسانی با استفاده از قابلیت ارتباطی
کلمات کلیدی
ثبت نام بین افراد، اتصال به عملکرد روشهای مبتنی بر سطح،
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
چکیده انگلیسی


- Novel inter-subject registration algorithm based on functional connectivity
- Improves alignment of functionally-defined areas
- Extensively validated on real fMRI experimental data
- Generalizes well to other experimental paradigms

Inter-subject alignment of functional MRI (fMRI) data is necessary for group analyses. The standard approach to this problem matches anatomical features of the brain, such as major anatomical landmarks or cortical curvature. Precise alignment of functional cortical topographies, however, cannot be derived using only anatomical features.We propose a new inter-subject registration algorithm that aligns intra-subject patterns of functional connectivity across subjects. We derive functional connectivity patterns by correlating fMRI BOLD time-series, measured during movie viewing, between spatially remote cortical regions. We validate our technique extensively on real fMRI experimental data and compare our method to two state-of-the-art inter-subject registration algorithms. By cross-validating our method on independent datasets, we show that the derived alignment generalizes well to other experimental paradigms.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 81, 1 November 2013, Pages 400-411
نویسندگان
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